Twitter: A Platform for Dissemination and Discussion of Scientific Papers in Radiation Oncology
Twitter: A Platform for Dissemination and Discussion of Scientific Papers in Radiation Oncology
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DOI：
10.1097/coc.0000000000000685
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发表时间：
2020-06-01
影响因子：
2.6
通讯作者：
Taussky, Daniel
中科院分区：
文献类型：
--
作者：
Paradis, Noemie;Knoll, Miriam A.;Taussky, Daniel
目的：这项研究的目的是检查Twitter提到的与放射肿瘤学文章的学术引用数量之间的相关性。材料和方法：我们回顾了所有178种最重要的放射性肿瘤学期刊和“近距离生日疗法”，和“近距离生气”，和“近距离生气”，和，审查的所有178份临床手稿。所有与放射肿瘤学有关的所有临床手稿都来自2018年1月至2月之间的十大影响因素肿瘤学期刊。利用Scopus和Google Scholar平台收集了引用的记录，并在推特上发布了有关使用“ Altmetric Beammarklet”的文章的数量。 CHI（2）测试用于比较组之间的分布，而Pearson系数用于Twitter指标和学术引用之间的相关性。回报：总的来说，所有文章中有71％至少在推特上进行了至少一次。在Google Scholar中的推文数量与引用数量之间存在显着相关性（r = 0.55，p
Objective:The objective of this study was to examine the correlation between Twitter mentions and the number of academic citations of radiation oncology articles.Materials and Methods:We reviewed all 178 clinical manuscripts of the 2 most important radiation oncology journals and "Brachytherapy," and all clinical manuscripts relating to radiation oncology from the top 10 impact factor oncology journals, published between January and February 2018. We collected the record of citations utilizing Scopus and Google Scholar platforms and the number of times an article was tweeted about using the "Altmetric Bookmarklet." chi(2) test was used to compare distributions between groups and the Pearson coefficient was used for correlations between the Twitter metrics and academic citations.Results:Overall, 71% of all articles were tweeted about at least once. There was a significant correlation between the number of tweets and the number of citations in Google Scholar (r=0.55, P